Workstation II INTEL X99
Geekbench ML Score
2277
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | saiht |
| Upload Date | July 16 2024 12:22 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | INTEL X99 |
| Motherboard | INTEL X99 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2696 v3 |
| Topology | 1 Processor, 18 Cores, 36 Threads |
| Identifier | GenuineIntel Family 6 Model 63 Stepping 2 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 18 Cores |
| L1 Instruction Cache | 32.0 KB x 18 |
| L1 Data Cache | 32.0 KB x 18 |
| L2 Cache | 256 KB x 18 |
| L3 Cache | 45.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1434
268.3 IPS |
|
|
Image Classification (F16)
|
100% |
1430
267.5 IPS |
|
|
Image Classification (I8)
|
97% |
1624
304.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1143
19.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1141
19.1 IPS |
|
|
Image Segmentation (I8)
|
97% |
1332
22.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
7684
9.30 IPS |
|
|
Pose Estimation (F16)
|
100% |
7695
9.32 IPS |
|
|
Pose Estimation (I8)
|
100% |
8562
10.4 IPS |
|
|
Object Detection (F32)
|
100% |
1061
79.2 IPS |
|
|
Object Detection (F16)
|
100% |
1201
89.7 IPS |
|
|
Object Detection (I8)
|
60% |
912
68.1 IPS |
|
|
Face Detection (F32)
|
100% |
1886
22.4 IPS |
|
|
Face Detection (F16)
|
100% |
2036
24.2 IPS |
|
|
Face Detection (I8)
|
87% |
2221
26.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
6261
48.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
6129
47.5 IPS |
|
|
Depth Estimation (I8)
|
74% |
6880
53.4 IPS |
|
|
Style Transfer (F32)
|
100% |
14757
19.4 IPS |
|
|
Style Transfer (F16)
|
100% |
14654
19.3 IPS |
|
|
Style Transfer (I8)
|
85% |
9438
12.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2347
83.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2356
84.1 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
1967
70.3 IPS |
|
|
Text Classification (F32)
|
100% |
820
1.18 KIPS |
|
|
Text Classification (F16)
|
100% |
833
1.20 KIPS |
|
|
Text Classification (I8)
|
94% |
231
332.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1222
22.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1224
22.5 IPS |
|
|
Machine Translation (I8)
|
67% |
1326
24.4 IPS |
